Jinjia Zhou received B.E. degree from Shanghai Jiao Tong University, China, in 2007. She received M.E. and Ph.D. degrees from Waseda University, Japan, in 2010 and 2013, respectively. From 2013 to 2016, she was a junior researcher with Waseda University, Japan. Currently she is an Associate Professor with Hosei University, Tokyo, Japan. During 2017-2019, She is also a senior visiting scholarship in State Key Laboratory of ASIC & System, Fudan University, China. Her interests are in algorithms and VLSI architectures for multimedia signal processing, especially in low-power high-performance VLSI design for video codecs including H.265/HEVC (High Efficiency Video Coding) and H.264/AVC. Dr. Zhou was selected as a research fellow by the Japan Society for the Promotion of Science during 2010-2013. She is selected as JST PRESTO researcher during 2017-2021. She is a recipient of the Chinese Government Award for Outstanding Students Abroad of 2012. Dr. Zhou received the Hibikino Best Thesis Award in 2011. She was a co-recipient of ISSCC 2016 Takuo Sugano Award for Outstanding Far-East Paper, the best student paper award of VLSI Circuits Symposium 2010 and the design contest award of ACM ISLPED 2010. She participated the design of the world first 8K UHDTV video decoder chip, which was granted the 2012 Semiconductor of the Year Award of Japan. She works as a reviewer for journals including IEEE Trans. Circuits Syst. Video Tech., IEEE Trans. Circuits Syst. I, IEEE Trans. VLSI Syst., and IEEE Trans. Multimedia.

讲座内容

For the next-generation information society, the Internet of Things (IoT) is expected to connect everyone and everything (video, audio, and texting) in a seamless network. More and more smart homes, smart buildings, and public Utilities like hospitals, airports or universities will be equipped with billions of ubiquitous multimedia nodes. Combined with alerts driven by video analytics, for example, it is possible to check whether children have arrived home safely from school, and whether the patients have troubles and need help. The multimedia data is increasingly becoming the “biggest big data.” It covers from everyone’s experiences to everything happening in the world. The current systems will suffer from huge cost in transfer and store the huge volume of data. Hence, the efficiency of data collection mechanism is going to be challenged. This talk introduces various applications that enhance the world of multimedia. Furthermore, the advanced multimedia compression/coding techniques are described. Finally, future immersive multimedia system is discussed.